Anil Kumar

Solar energy has found its widespread use in direct conversion into electricity either by photovoltaic conversion or through thermal energy, reduction in post-harvest losses, and crop drying. Solar Drying Systems analyzes the fundamentals, principles and applications, heat transfer, elements of drying and solar dryer designs, and related modeling and analysis aspects of solar energy. Discusses both technical and policy-related issues Explores up-to-date status reviews of different solar drying systems Reviews the highlights of present and future solar drying options Includes many figures, solved examples, and tables with problems/exercises at the end of each chapterThis book is aimed at senior undergraduate and graduate students in energy engineering.

This book presents an interdisciplinary paradigms of computational intelligence techniques and biomedical signal processing. The computational intelligence techniques outlined in the book will help to develop various ways to enhance and utilize signal processing algorithms in the field of biomedical signal processing. In this book, authors have discussed research, discoveries and innovations in computational intelligence, signal processing, and biomedical engineering that will be beneficial to engineers working in the field of health care systems. The book provides fundamental and initial level theory and implementation tools, so that readers can quickly start their research in these interdisciplinary domains.

Solar energy has found its widespread use in direct conversion into electricity either by photovoltaic conversion or through thermal energy, reduction in post-harvest losses, and crop drying. Solar Drying Systems analyzes the fundamentals, principles and applications, heat transfer, elements of drying and solar dryer designs, and related modeling and analysis aspects of solar energy. Discusses both technical and policy-related issues Explores up-to-date status reviews of different solar drying systems Reviews the highlights of present and future solar drying options Includes many figures, solved examples, and tables with problems/exercises at the end of each chapterThis book is aimed at senior undergraduate and graduate students in energy engineering.

The book at hand delves into modern, eco-friendly approaches to controlling pests in horticulture. It presents a comprehensive overview of non-chemical pest management techniques, focusing on methods such as agronomic strategies, physical and mechanical controls, biopesticides, biocontrol agents, and biorational pesticides. This reference material is ideal for organic farmers, researchers, and students who are committed to sustainable and environmentally responsible pest management practices.

A man faces problems in his life from birth to death, neither he can find solutions to these problems throughout his life nor discovers the cause of these problems, the whole life passes in ignorance. Due to which he remains unhappy and upset throughout his life, there is a reason for every problem and that problem is also resolved. In this book, we will understand the teachings of Gautam Buddha and discover the grief and its internal and external causes.

Energy Management: Conservation and Audit discusses the energy scenario, including energy conservation, management, and audit, along with the methodology supported by industrial examples. Energy economics of systems has been elaborated with concepts of life cycle assessment and costing, and rate of return. Topics such as energy storage, co-generation, and waste heat recovery to energy efficiency have discussed. The challenges faced in conserving energy sources (steam and electricity) have elaborated along with the improvements in the lighting sector. Further, it covers optimization procedures for the development in the industry related to energy conservation. The researchers, senior undergraduate, and graduate students focused on Energy Management, Sustainable Energy, Renewable Energy, Energy Audits, and Energy Conservation. This book covers current information related to energy management and includes energy audit and review all the leading equipment (boilers, CHP, pumps, heat exchangers) as well as procedural frameworks (energy audits, action planning, monitoring). It includes energy production and management from an industrial perspective, along with highlighting the various processes involved in energy conservation and auditing in various sectors and associated methods. It also explores future energy options and directions for energy security and sustainability.

This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy machine learning and deep learning algorithms. Both types of algorithms are described in such details that these can be implemented directly for thematic mapping of multiple-class or specific-class landcover from multispectral optical remote sensing data. These algorithms along with multi-date, multi-sensor remote sensing are capable to monitor specific stage (for e.g., phenology of growing crop) of a particular class also included. With these capabilities fuzzy machine learning algorithms have strong applications in areas like crop insurance, forest fire mapping, stubble burning, post disaster damage mapping etc. It also provides details about the temporal indices database using proposed Class Based Sensor Independent (CBSI) approach supported by practical examples. As well, this book addresses other related algorithms based on distance, kernel based as well as spatial information through Markov Random Field (MRF)/Local convolution methods to handle mixed pixels, non-linearity and noisy pixels. Further, this book covers about techniques for quantiative assessment of soft classified fraction outputs from soft classification and supported by in-house developed tool called sub-pixel multi-spectral image classifier (SMIC). It is aimed at graduate, postgraduate, research scholars and working professionals of different branches such as Geoinformation sciences, Geography, Electrical, Electronics and Computer Sciences etc., working in the fields of earth observation and satellite image processing. Learning algorithms discussed in this book may also be useful in other related fields, for example, in medical imaging. Overall, this book aims to: exclusive focus on using large range of fuzzy classification algorithms for remote sensing images; discuss ANN, CNN, RNN, and hybrid learning classifiers application on remote sensing images; describe sub-pixel multi-spectral image classifier tool (SMIC) to support discussed fuzzy and learning algorithms; explain how to assess soft classified outputs as fraction images using fuzzy error matrix (FERM) and its advance versions with FERM tool, Entropy, Correlation Coefficient, Root Mean Square Error and Receiver Operating Characteristic (ROC) methods and; combines explanation of the algorithms with case studies and practical applications.

Growth of Industries and Urbanization have some negative impacts on our society and environment due the by-product of industries. Fly ash(FA), bottom ash(BA) and granulated blast furnace slag (GBFS), effulent treatment plant sludge (ETP sludge) are industrial wastes from thermal power plant and steel industries respectively. These generated wastes creates a loss of materials, energy and impose economic & environmental costs on society for its collection, treatment and disposal. These by-products create environmental problems like air pollution, water pollution and land degradation etc. Utilization of these waste as a building materials products like brick and concrete by geopolymerization techniques have been attempted.